A REVIEW ON CURVELETS AND ITS APPLICATIONS
Authors: Shristi Mishra and Deepika Sharma
Publishing Date: 24-04-2022
ISBN: 978-93-91842-08-6
Abstract
Wavelets have a large impact on image and signal processing, but it is observed that they fail to represent an object like linear or curvilinear structure which is highly anistropic. To alleviate this problem,curvelets have been introduced by Candes and Demanent. Curvelets have shown a great interest in the field of image and signal processing over the past few years. The beauty of curvelets over wavelets is that it can be constructed over general manifolds. In this paper, we represent the review on curvelets transform, including its history from wavelets, and so forth. Moreover, this paper will also demonstrate the numerous applications of curvelets such as seismic data recovery, X-Ray computed tomography, interferometry images, time-frequency analysis, processing of MRI for local image enhancement and noise suppression of receivers function, which would be fruitful for discovering the real life applications and problems that can be solved with the help of curvelets.
Keywords
Curvelet, Wavelet, Multiscale geometric analysis, Seismic data recovery, Interferometricimage.
Cite as
Shristi Mishra and Deepika Sharma, "A REVIEW ON CURVELETS AND ITS APPLICATIONS", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 213-220. https://doi.org/10.52458/978-93-91842-08-6-20